Applied Industrial Technologies (AIT) Inventory (2010 - 2026)
Applied Industrial Technologies (AIT) reported Inventory of $533.25 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 2.2% from $521.68 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Applied Industrial Technologies posted Inventory of $508.98 million, up 0.7% from FY2025.
- Inventory has a five-year compound annual growth rate of 7.0% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $505.34 million in FY2025 (+3.5%), $488.26 million in FY2024 (-2.6%), $501.18 million in FY2023 (+11.4%) and $449.82 million in FY2022 (+24.1%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Inventory in data going back to fiscal Q4 2010.
- Year over year, Inventory has now increased in each of the last six quarters, with growth averaging 2.2% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q2 2023 (growth of 30.8%); the low point was fiscal Q3 2024 (a decline of 4.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $508.98 million (Q4 2026), $526.32 million (Q3 2026) and $529 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.70 Bn | 69.82 Bn | 2.05 Bn | 313.00 Mn |
| 2 | W.W. Grainger | 68.55 Bn | 65.91 Bn | 2.01 Bn | 2.30 Bn |
| 3 | Fastenal | 62.67 Bn | 61.67 Bn | 1.10 Bn | 1.78 Bn |
| 4 | Ferguson Enterprises | 51.09 Bn | 48.31 Bn | 2.32 Bn | 4.68 Bn |
| 5 | Sunbelt Rentals Holdings | 33.45 Bn | 33.33 Bn | 1.25 Bn | 192.00 Mn |
| 6 | Reliance | 21.44 Bn | 20.49 Bn | 1.45 Bn | 2.48 Bn |
| 7 | Wesco International | 15.47 Bn | 12.52 Bn | 1.57 Bn | 4.69 Bn |
| 8 | Watsco | 12.09 Bn | 9.78 Bn | 578.93 Mn | 1.89 Bn |
| 9 | Applied Industrial Technologies | 10.92 Bn | 10.80 Bn | 392.21 Mn | 533.25 Mn |
| 10 | Avantor | 10.69 Bn | 9.28 Bn | 534.80 Mn | 854.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 533.25 Mn |
| Jun 30, 2026 | 508.98 Mn |
| Mar 31, 2026 | 526.32 Mn |
| Dec 31, 2025 | 529.00 Mn |
| Sep 30, 2025 | 521.68 Mn |
| Jun 30, 2025 | 505.34 Mn |
| Mar 31, 2025 | 500.56 Mn |
| Dec 31, 2024 | 518.04 Mn |
| Sep 30, 2024 | 497.57 Mn |
| Jun 30, 2024 | 488.26 Mn |
| Mar 31, 2024 | 503.91 Mn |
| Dec 31, 2023 | 520.16 Mn |
| Sep 30, 2023 | 507.64 Mn |
| Jun 30, 2023 | 501.18 Mn |
| Mar 31, 2023 | 526.98 Mn |
| Dec 31, 2022 | 523.02 Mn |
| Sep 30, 2022 | 490.10 Mn |
| Jun 30, 2022 | 449.82 Mn |
| Mar 31, 2022 | 425.37 Mn |
| Dec 31, 2021 | 399.76 Mn |
API Access
Applied Industrial Technologies Inventory API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=inventory&ticker=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "AIT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();